Founding Member – Technical Staff

Clera

Founding engineering role at healthtech startup building evidence infrastructure for AI model validation. Collaborate with the founding team on AI safety claims validation and investigations.

Posted 8/1/2026full-timeSunnyvale • California • 🇺🇸 United StatesLead💰 $150,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python programming and machine learning fundamentals, with a strong focus on data analysis, model evaluation, and evidence methodology for AI validation. Capable of cross-functional communication and ownership in a founding team environment.

Highest-signal resume keywords

Expert Python SkillsMachine Learning FundamentalsData AnalysisCross-Functional CommunicationEvidence Methodology Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningStatisticsData ScienceData AnalysisModel EvaluationEvidence MethodologyCode StructureInterface BoundariesReusability Trade-offsAI Tooling

Soft Skills

Cross-Functional CommunicationOwnershipVersatilityCritical ThinkingCollaboration

Industry Keywords

Quantitative FieldDemographic BiasGeneralization LimitsDistribution ShiftFailure ModesAssumption TestingFounding Team ContributorProduction-Quality CodeTechnical StakeholdersNon-Technical Stakeholders

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Design and execute investigations into how AI models perform and fail across real-world scenarios.
Analyze input data, model outputs, and internal representations to evaluate data quality, generalization limits, distribution shift, subgroup performance, and demographic bias.
Surface failure modes and produce structured evidence that supports, challenges, or refines claims about model performance and safety.
Develop and evolve the company's evidence methodology — defining how claims, arguments, and evidence should be structured for rigorous AI validation.
Pressure-test assumptions, critique weak argument structures, and systematize repeated investigations into reusable methods, workflows, and platform primitives.
Write production-quality Python, build agentic workflows for evidence investigation, and prototype front-end features using AI tooling.
Contribute beyond your immediate technical domain — this is a founding role that requires ownership, versatility, and the willingness to challenge assumptions.

Requirements

What you’ll need

Degree in CS, mathematics, physics, engineering, or a related quantitative field — or equivalent demonstrated depth.
Strong ML, statistics, and data science fundamentals; ability to understand the math behind methods, identify broken assumptions, and reason about trade-offs.
Expert Python skills, spanning raw data analysis through to platform-level code others will rely on.
Strong engineering judgment on code structure, interface boundaries, and reusability trade-offs.
Demonstrated ability to operate as a founding-team-caliber contributor — taking end-to-end ownership and contributing across domains.
Strong cross-functional communication skills; able to present evidence, claims, and validation results to both technical and non-technical stakeholders.
Comfort using AI tooling as a primary mode of working.
Authorized to work in the United States without visa sponsorship; able to work on-site in Sunnyvale, CA.

Benefits

Comp & perks

Founding team equity and early-stage upside